Foundations: Data, Data, Everywhere - Module 2 challenge

Foundations: Data, Data, Everywhere - Module 2 challenge

  1. Which of the following activities are part of the manage phase of the data life cycle? Select all that apply.

    • Select tools to keep data secure

    • Decide where to store data

    • Use the data solve problems

    • Reflect on how to care for data

  2. Which spreadsheet feature is a preset command that automatically performs a specific process or task?

    • Formula

    • Format

    • Filter

    • Function

  3. Which of the following statements correctly describe the archive and the destroy phases of the data life cycle? Select all that apply.

    • Archiving means storing data, although it may not be used again.

    • Shredders may be used to destroy data that is on paper.

    • The best way to protect private data at the end of a project is to archive it for future use.

    • A key reason for destroying data is to protect sensitive customer information.

  4. What tasks may occur during the ask step of the data analysis process? Select all that apply.

    • Identify any obstacles

    • Make sure expectations are clear

    • Conduct gap analysis

    • Bring data into the organization

  5. Fill in the blank: Data is _____ during the prepare step of the data analysis process.

    • presented and shared

    • collected and stored

    • analyzed and interpreted

    • filtered and sorted

  6. A data team at a timber company works on a project aimed at planting more trees and eliminating deforestation. They discuss what type of data they need and how it will be managed throughout its life cycle. What phase of the data life cycle does this scenario describe?

    • Capture

    • Plan

    • Archive

    • Manage

  7. Data analysts at a home appliance retailer have a dataset containing information about product repairs. They look for and resolve any errors within the dataset. Then, they transform the data into a format that will enable them to get useful insights about repair trends. What step of the data analysis process does this scenario describe?

    • Ask

    • Analyze

    • Share

    • Process

  8. Fill in the blank: During the _____ step of the data analysis process, data team members use tools such as SQL to make predictions.

    • analyze

    • share

    • process

    • act

  9. What are some key benefits of data visualizations? Select all that apply.

    • Data visualizations are more engaging than tables and numbers.

    • Visualizing data ensures findings are unbiased.

    • Visuals enable data professionals to more effectively share insights with others.

    • Graphs and charts help people understand complex data.

  10. Fill in the blank: A high-tech manufacturer acquires data from an outside consumer tech association database and its own documentation about product features and pricing. This work occurs during the _____ phase of the data life cycle.

    • destroy

    • analyze

    • manage

    • capture